「drawing」の検索結果

Retrieve fulltext images (drawings, diagrams, charts) from patent documents by patent ID or publication number. Triggered when users ask about patent images, patent drawings, patent diagrams, patent illustrations, fulltext drawings, patent charts, patent technical drawings, or want to view/download embedded images in patent documents, patent fulltext drawings, patent diagrams, technical drawings, patent images, or Nexscope. Even if the user does not explicitly mention "fulltext drawings," this skill should be triggered whenever their need involves obtaining visual content (drawings, diagrams, charts) from specific patents.

日本語の概要は準備中です。原文の説明を表示しています。

Convert 2D orthographic wireframe PNG drawings to 3D Blender models exported as glTF/GLB. Use this skill whenever the user provides wireframe images (technical drawings, line drawings, orthographic views, side/front/back panels) and wants to generate a 3D model, mesh, or .glb file. Triggers on phrases like "convert this wireframe to 3D", "make a 3D model from these drawings", "build a model from this wireframe", "generate GLB from these views", or any image-to-3D-mesh request involving line drawings. Make sure to use this skill even if the user does not explicitly say "wireframe" — also covers "orthographic views", "technical drawings", "line drawings of objects", "front and side views". Requires the Blender MCP addon to be running (port 9876) and Python with opencv-python, numpy, scipy installed.

日本語の概要は準備中です。原文の説明を表示しています。

Make an engineering drawing of a part as a PDF - orthographic views with hidden lines and centre marks, real dimensions, hole callouts, notes and a title block on ISO sheets, all projected from the part's geometry so the drawing follows the model. Use when the user asks for a drawing, a dimensioned sheet, shop or manufacturing drawings, a print, or "2D views of this part".

日本語の概要は準備中です。原文の説明を表示しています。

Retrieves patent abstract images (drawings) from the Nexscope (Nexscope) patent database by patent ID or publication number. Trigger when the user mentions patent abstract drawings, patent diagrams, patent figures, patent images, abstract drawing retrieval, patent image lookup, patent abstract images, patent drawings, patent illustrations, Nexscope, abstract image lookup. Also trigger when the user needs to view the drawings or figures in patent documents, even without explicitly mentioning Nexscope.

日本語の概要は準備中です。原文の説明を表示しています。

Observational drawing and visual perception techniques for art education. Covers contour drawing, gesture drawing, negative space, proportion and measurement, value mapping, spatial depth cues, and the cognitive shift from symbolic to perceptual seeing. Use when teaching drawing fundamentals, analyzing observational accuracy, or developing visual literacy in any medium.

日本語の概要は準備中です。原文の説明を表示しています。

Generate patent-office-compliant figures via the PatentFig AI API — patent line art from text (PNG or SVG), vectorize drawings to SVG/DXF/vector PDF, AI-upscale images, and convert to filing-ready TIFF/PDF/PNG. Use when the user asks for patent drawings, patent figures, invention diagrams, USPTO/EPO-compliant line art, vectorizing a drawing for CAD, or preparing figures for a patent filing. Requires a PATENTFIG_API_KEY environment variable.

日本語の概要は準備中です。原文の説明を表示しています。

Assemble a whiteboard explainer video ad from a beats file — a narrator explains one idea while a real whiteboard fills up in black marker, with a hand-lettered title, bulleted rows down the left, a drawing filling the right, and a payoff that letters the closing line and rings the claim. The board is a PHOTOGRAPH and the ink is multiplied onto it, so the surface sheen and window light come through the strokes; the drawings are generated as line art and traced to ordered strokes, then revealed in drawing order on the word they belong to. The layout is SOLVED from the beats, never hand-placed. FREE assembly (Pillow plus ffmpeg) apart from one board photo and one drawing per subject, both one-time per brand. Use for the whiteboard format.

日本語の概要は準備中です。原文の説明を表示しています。

Generate, regenerate, and validate 2D DXF drawings from Python build123d sources. Use for DXF files, `.py` drawing scripts, @dxf models, 2D profiles, outlines, templates, gaskets, panels, flat patterns, laser/plasma/waterjet cut layouts, and 2D drawing exports of CAD geometry. Open and visually review existing DXF files in CAD Viewer.

日本語の概要は準備中です。原文の説明を表示しています。

Add Apple Pencil drawing with PKCanvasView, PKToolPicker, PKDrawing serialization/export, stroke inspection, and PencilKit/PaperKit handoffs. Use when building drawing apps, annotation features, handwriting capture, signature fields, content-version-safe ink workflows, or Apple Pencil-powered experiences on iOS/iPadOS/visionOS.

日本語の概要は準備中です。原文の説明を表示しています。

Applies Qt Canvas2D (QtCanvas2D / Qt Canvas Painter, Qt 6.12+) best practices when producing or working with Canvas2D QML source code. Use whenever Canvas2D, Canvas2DContext, path2d, boxshadow2d, boxgradient2d, gridpattern2d, conicalgradient2d or transform2d is the subject: writing, reviewing, fixing, optimizing, or porting Qt Quick Canvas / HTML5 canvas drawing code to Canvas2D. Also use for GPU-accelerated imperative 2D drawing in QML — gauges, dials, charts, waveforms, oscilloscopes, clocks, freehand drawing — including choosing between Canvas2D and Shape/ShapePath when the renderer has not been decided yet. Do NOT trigger for plain Qt Quick Canvas work that must stay on the old CPU element, or for reviewing existing Shape/ShapePath code where the renderer is already settled.

日本語の概要は準備中です。原文の説明を表示しています。

Parse architectural drawings, floor plans, and building code compliance documents using Vision AI. Extracts building type, occupancy, floor areas, room layouts, dimensions, and code parameters. Use when: reading PDF floor plans, analyzing architectural drawings, extracting building data from images or scanned documents.

日本語の概要は準備中です。原文の説明を表示しています。

図面 JSON を検証し、A3 の PDF / SVG と注釈一覧を生成して設計レビューの候補を返す。図面レビュー、寸法確認、注釈作成、drawing review、annotation に使う。

Expert PE review of a submittal (shop drawings, product data, samples, equipment brochures) against specs, drawings, code questions and trade coordination. Produces findings with both sources, trade routing and a completeness gate. Triggers: 'review submittal', 'review shop drawings'.

日本語の概要は準備中です。原文の説明を表示しています。

Operating guide for construction project documents — load before reading drawings, specs, schedules, RFIs, submittals or bids. Data-access rules (never read PDFs directly; rasterize first), AgentCM graph-guided vision, drawing and cross-reference conventions, document precedence. Triggers: 'construction project', 'drawings', 'specs', 'sheet', 'RFI', 'submittal'.

日本語の概要は準備中です。原文の説明を表示しています。

Split a bound drawing set PDF into individual sheet PDFs. Extracts sheet numbers from title blocks via vision, renames files. Triggers: 'split drawings', 'break up the drawing set', 'separate sheets'. Run after /project-setup.

日本語の概要は準備中です。原文の説明を表示しています。

ReactやNext.jsで、ドラッグ操作、スワイプ、文字やSVGのアニメーションを実装します。複数段階の動きや読み込み表示まで扱い、用途に合うAPI選びも支えるスキル。

• ドラッグで閉じる画面や並べ替えリストの実装
• 単語ごとの文字表示や数値アニメーション
• SVGの線描画や円形の進捗表示

Process user-provided patent figures and generate formal drawing descriptions. Use when user says "附图处理", "figure description", "附图说明", "drawings description", or wants to describe patent figures with reference numerals.

日本語の概要は準備中です。原文の説明を表示しています。

Build crafted, highly detailed, interactive isometric SVG figures that explain a technical idea as a real physical object (a test rig, a dial gauge, a cabinet of drawers, a plotter, a lock), with many small precise solid parts, four-tone shading, correct painter's order, a framed card with title, hint and live readout, and calm eased motion. Use this whenever someone wants an isometric illustration, an explanatory diagram or figure for docs, a blog post, a landing page or an article, a "Linear-style" or "premium" technical drawing, an interactive explainer, or an SVG that shows how a system, algorithm or component works, even if they never say "isometric". Works framework-free (TypeScript/JS that writes SVG and HTML) and in React/Next.js, and can add realistic WebGL shaders (fire, exhaust, water, caustics, lamp light) that live inside the drawing in the same isometric perspective.

日本語の概要は準備中です。原文の説明を表示しています。

Code-drawn stills, drawing timelapses, films, explainers and interactive web animations in 32 styles, with composed scores. Matches a reference style, keeps characters consistent, teaches drawing. Deterministic, no generated assets.

日本語の概要は準備中です。原文の説明を表示しています。

Extract countable FF&E or luminaire instances from supplied drawings with position-level evidence. Use for plan quantities or symbol counts; not area takeoffs, product specs or cross-source reconciliation.

日本語の概要は準備中です。原文の説明を表示しています。

Analyze construction drawings to extract dimensions, annotations, symbols, and metadata. Support quantity takeoff and design review automation.

日本語の概要は準備中です。原文の説明を表示しています。

Create 2D art and animation in Blender using Grease Pencil and Python. Use when the user wants to draw strokes programmatically, create 2D animations, build Grease Pencil objects from code, manage GP layers and frames, apply GP modifiers, set up drawing guides, or script any Grease Pencil workflow in Blender.

日本語の概要は準備中です。原文の説明を表示しています。

Draw 2D graphics with the HTML5 Canvas API — shapes, text, images, gradients, transformations, pixel manipulation, and offscreen rendering. Use when tasks involve generating images server-side (with node-canvas), creating charts, image compositing, watermarking, or browser-based drawing applications.

日本語の概要は準備中です。原文の説明を表示しています。

Draws images, PDF/SVG vector files and animation frames with pycairo, and supplies what cairo lacks: shaped text for Arabic, Indic and other scripts, text along curves, blur/glow/drop shadows, path booleans, stroke-to-outline, and Gouraud-shaded 3D. Use when writing pycairo or cairo drawing code, generative art, custom diagrams or posters rendered in Python, or when cairo output needs non-Latin text, soft effects, merged shapes or shaded surfaces.

日本語の概要は準備中です。原文の説明を表示しています。